Skill UI

This guide provides production-grade architecture patterns for implementing robust LLM observability using Langfuse. It covers singleton SDK setup, context propagation across asynchronous boundaries, Express middleware for automatic tracing, and cross-service trace correlation using OpenTelemetry. Ideal for designing enterprise-level, scalable tracing infrastructure for LLM applications.

Automated license compliance scanner guidance for Security Fundamentals, delivering step-by-step practices, best-practice patterns, and production-ready code plus validation to keep authentication, validation, and secure coding efforts aligned.

A comprehensive guide and tool for building and configuring complex, multi-step AI agent workflows. Users can define sophisticated automation pipelines by chaining together customizable triggers (e.g., email, webhook), actions (e.g., Slack post, database update), conditional logic, and external knowledge bases. Ideal for automating business processes like customer support triage, data processing, and complex notifications, ensuring deterministic and scalable AI operations.

This skill provides comprehensive reference architectures for integrating Lindy AI agents into production applications. It covers various complex patterns, including simple webhook callbacks, sophisticated event-driven pipelines, multi-agent delegation systems, scheduled workflows, and RAG-powered customer chat interfaces. Essential for designing and building robust, scalable, and reliable AI-powered systems.

This comprehensive guide demonstrates how to implement robust Role-Based Access Control (RBAC) for applications deeply integrated with Linear. It covers utilizing Linear's built-in roles, mapping application roles to specific OAuth scopes, implementing powerful permission guard middleware, and integrating advanced enterprise features like SAML SSO and SCIM provisioning, ensuring secure and scalable access management for large organizations.

This guide provides a comprehensive workflow for setting up a local development environment for Linear integrations. It covers project scaffolding, environment configuration, connection verification using the official SDK, robust integration testing with Vitest, and simulating webhooks using ngrok. Essential for developers building and testing SaaS connections with Linear.

A comprehensive guide to optimizing interactions with the Linear API. Learn advanced techniques to improve application performance by eliminating N+1 queries, implementing robust caching strategies for static data (e.g., teams, states), managing cache invalidation via webhooks, and efficiently batching multiple mutations into single GraphQL requests. Essential for building scalable, low-latency SaaS applications.

This guide provides production-grade architectural patterns for integrating with the Linear API. It helps developers choose the optimal strategy—be it Simple SDK calls, Service-Oriented Gateways with caching, or Event-Driven Webhooks—based on system complexity, scale, and real-time requirements. Includes patterns like CQRS and rate limiting best practices.

A mandatory workflow for ensuring high code quality across multiple ecosystems, including Node.js/TypeScript and Python. This pipeline runs static analysis tools—such as linters, type checkers (MyPy, tsc), and security scanners (Bandit)—after every code change. It mandates that no task is considered 'done' or committed until all validation checks pass, resolving style, syntax, and type mismatches.

A comprehensive guide for authorized security assessments, detailing systematic methods to escalate user privileges from low-level access to root control on Linux systems. Techniques covered include comprehensive system enumeration, exploiting kernel vulnerabilities (e.g., dirty pipe), abusing misconfigured sudo permissions (using gtfobins), and exploiting vulnerable SUID binaries.

Execute comprehensive load, stress, and soak tests to validate API performance, identify scaling bottlenecks, and establish throughput baselines. This tool simulates realistic, high-volume traffic patterns using industry-standard tools like k6 or Artillery, allowing users to define complex scenarios (e.g., e-commerce checkout flows, traffic spikes) and assert performance thresholds (p95 latency, error rates). It helps pinpoint resource limitations in databases, network layers, or compute resources, ensuring the API is ready for production scalability.

This comprehensive workflow automates the core source-to-Lokalise process. Users can upload source translation files (JSON, XLIFF, PO, etc.), programmatically create new keys from code scans or CMS exports, update existing keys, and manage release tags. It is designed for CI/CD pipelines and bulk content synchronization.